Available to hire
I’m Luke Winters, an AI / Mechatronics Engineer focused on autonomous systems, model optimization, and real-time control. I thrive at the intersection of embedded hardware and AI, delivering scalable automation across AU/US with hands-on deployment, SOPs, and cross-functional collaboration.
I’m passionate about blending robust hardware design with ML-driven decision making, leading teams and delivering end-to-end ML pipelines from data collection to deployment, ensuring safe, repeatable operation and measurable productivity gains.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Computer Vision / Machine Learning Engineer at Coogee Chemicals
January 1, 2024 - November 6, 2025Designed real-time inspection/monitoring system using Python and OpenCV, integrated with factory PLCs. Reduced manual monitoring labour by 70% in two deployment sites (Perth, Australia & Illinois, USA). Authored SOPs and validation protocols to ensure safe, repeatable operation and smooth handover to operating teams. Built end-to-end ML pipelines: data collection, annotation, augmentation, training, deployment, with CI/CD and tuning. Liaised with engineers to identify automation opportunities, quantify benefits and deploy CV solutions.
Mechatronics Engineer – Robotics Team Lead at Melbourne Space Program
July 1, 2024 - July 1, 2024Led a 6-member robotics team to deliver a 4-DOF humanoid arm with a soft gripper, from concept to working hardware within a $10k CAD budget. Integrated 7+ sensors and actuators on STM32/Arduino (C++), implementing PID control and safe bring-up routines. Designed end-effectors in SolidWorks; documented assembly, tuning, and maintenance in Git for repeatability. Prototyped a soft robotic hand for adaptive object manipulation using malleable TPU and 3D printing.
Machine Learning / AI Internship at Coogee Chemicals – Intern
January 31, 2024 - January 31, 2024Trained AI Mask R-CNN models (PyTorch/TensorFlow) for titanium powder classification and instance segmentation to identify particle shape/size, enabling yield prediction and production optimization. Tuned models through pruning, quantisation, and CUDA acceleration, cutting inference time by over 4x. Collaborated with process engineers to integrate ML outputs into particle monitoring workflows, enabling automated quality assessment and reducing manual review effort by ~60%.
Education
Master of Mechatronics Engineering (with Distinction) at University of Melbourne
February 1, 2023 - July 1, 2025Masters Mechatronics & Robotics Engineering Exchange at New York University
January 1, 2025 - May 1, 2025BSc in Mechanical Engineering (First Class Honours) at University of Melbourne
February 1, 2020 - December 31, 2022BSc in Mechanical Engineering (Exchange) at University of British Columbia
January 1, 2022 - April 1, 2022Qualifications
Industry Experience
Manufacturing, Software & Internet, Media & Entertainment
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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